Package org.apache.commons.math.optimization.fitting

This package provides classes to perform curve fitting.

Curve fitting is a special case of a least squares problem were the parameters are the coefficients of a function f whose graph y=f(x) should pass through sample points, and were the objective function is the squared sum of residuals f(xi)-yi for observed points (x_i, y_i).

Interface Summary

Interface	Description
ParametricRealFunction	An interface representing a real function that depends on one independent variable plus some extra parameters.

Class Summary

Class	Description
CurveFitter	Fitter for parametric univariate real functions y = f(x).
GaussianDerivativeFunction	The derivative of GaussianFunction.
GaussianFitter	Fits points to a Gaussian function (that is, a GaussianFunction).
GaussianFunction	A Gaussian function.
GaussianParametersGuesser	Guesses the parameters (a, b, c, and d) of a ParametricGaussianFunction based on the specified observed points.
HarmonicCoefficientsGuesser	This class guesses harmonic coefficients from a sample.
HarmonicFitter	This class implements a curve fitting specialized for sinusoids.
HarmonicFunction	Harmonic function of the form f (t) = a cos (ω t + φ).
ParametricGaussianFunction	A Gaussian function.
PolynomialFitter	This class implements a curve fitting specialized for polynomials.
WeightedObservedPoint	This class is a simple container for weighted observed point in curve fitting.